1972
DOI: 10.1109/tap.1972.1140237
|View full text |Cite
|
Sign up to set email alerts
|

Phase optimization of antenna array gain with constrained amplitude excitation

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
7
0

Year Published

1988
1988
2011
2011

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 21 publications
(7 citation statements)
references
References 8 publications
0
7
0
Order By: Relevance
“…Optimization by adjustment of only phases is also possible (Voges and Butler, 1972). This might be attractive for arrays with active modules, where uniform amplitude is desirable.…”
Section: Constraint On Q or Tolerancesmentioning
confidence: 99%
“…Optimization by adjustment of only phases is also possible (Voges and Butler, 1972). This might be attractive for arrays with active modules, where uniform amplitude is desirable.…”
Section: Constraint On Q or Tolerancesmentioning
confidence: 99%
“…Rather, the receiver is actually within or near the volume of the array of transmitters, and thus we require modification of the standard directivity equation [26]. To this end, we define a performance index in the following manner: (11) In the numerator, is the receive antenna polarization unit vector, is the total electric field at location , is the average distance between the transmitters and receiver, calculated by (12) where is the squared distance between the th transmitter and the receiver, and is the total number of transmitters. In this work we assume .…”
Section: B Modified Directivitymentioning
confidence: 99%
“…As needed for comparative purposes later and for use in optimization algorithms, the gradient and Hessian of the th ground-station excess gain are, respectively (9) (10) and (11) Note that the gradient and Hessian expressions for a SL constraint have similar forms.…”
Section: Conventional Quasi-newton Synthesis Techniquementioning
confidence: 99%
“…Straightforward application of standard optimization strategies tend to dominate, as seen in [10]- [12]. An interesting technique based upon a statistical approach for the generation of low sidelobe (SL) patterns appears in [13].…”
Section: Introductionmentioning
confidence: 99%